{"id":"W2791416177","doi":"10.5539/ass.v14n4p136","title":"CPNT Model Analysis on New Media and “Gangnam Style”","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Advertising; Variety (cybernetics); Key (lock); Popular music; Media studies; Sociology; Computer science; Art; Visual arts; Artificial intelligence; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135636,0.000879186,0.0004322407,0.001751742,0.0005299149,0.001836843,0.0008148856,0.0007479314,0.006777043],"category_scores_gemma":[0.006641069,0.0001715871,0.001309514,0.001211695,0.0004350602,0.001791259,0.0008505532,0.001405701,0.001148159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533254,"about_ca_system_score_gemma":0.001301173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05878196,"about_ca_topic_score_gemma":0.02673191,"domain_scores_codex":[0.9994203,0.0001669734,0.00002690262,0.0001388222,0.000131741,0.0001152596],"domain_scores_gemma":[0.9977191,0.00145735,0.0001526676,0.0001379537,0.0004217513,0.0001111496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007021388,0.0004897548,0.200111,0.0002827639,0.000378694,0.001336412,0.0009176451,0.6193601,0.002696017,0.04233071,0.02192387,0.109471],"study_design_scores_gemma":[0.000005691944,0.00002679603,0.007056066,0.00002334258,0.00003319254,0.00007785574,0.0002435073,0.9867443,0.0002985372,0.003425947,0.002051162,0.00001360586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7654252,0.001270585,0.1937225,0.002934959,0.0004904454,0.0002725018,0.006250564,0.001075924,0.0285574],"genre_scores_gemma":[0.9819347,0.0003186353,0.008704006,0.00007723803,0.00006229923,0.0001167445,0.002662966,0.00006754822,0.006055962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05878196,"threshold_uncertainty_score":0.1168796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271447134108481,"score_gpt":0.3259856643179024,"score_spread":0.2988409509070543,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}